← Back to Skills Marketplace
godiao

hugging-face daily papers

by GoDiao · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
106
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install hf-daily-papers
Description
Fetch and digest HuggingFace Daily Papers. Use when user asks for today's HF papers, daily paper digest, wants a paper report, or says 论文精选/今日论文/HF daily pap...
README (SKILL.md)

HF Daily Papers

Fetch papers from HuggingFace Daily Papers feed and generate a digest with analysis.

Setup: Get Your HF Token

  1. Go to https://huggingface.co/settings/tokens
  2. Create a Read token (any name)
  3. Set the token as an environment variable:
# Windows PowerShell
$env:HF_TOKEN = "hf_xxxxxxxxxxxxx"

# macOS / Linux / Git Bash
export HF_TOKEN="hf_xxxxxxxxxxxxx"

The script reads HF_TOKEN from os.environ. If not set, it exits with a clear error message.

Step 1: Run the fetcher

cd \x3Cskill-path>/scripts && python hf_papers.py [date YYYY-MM-DD]
  • No date arg = yesterday
  • Output: hf_results.json (saved in the working directory)

Step 2: Read results

Read hf_results.json. Fields:

Field Description
paperId arXiv ID
title Paper title
votes Community upvotes
submittedBy Submitter name
organization Research institution
summary Full abstract (cleaned, up to 2000 chars)
aiSummary AI-generated summary (200-300 chars, from HF blue box)
githubRepo GitHub repo URL if available
keywords AI-extracted keywords (up to 10)
link HF paper page
arxivLink arXiv abstract page

Step 3: Score and write digest

Scoring reference (10-point scale, intuition-based):

Dimension Weight Bonus signals
Innovation 0-3 New benchmark/dataset, novel direction, first-of-its-kind
Practicality 0-3 Has GitHub code, clear real-world application, big tech/academia
Technical depth 0-2 Summary >200 chars, contains RL/MCTS/evolutionary methods
Interestingness 0-2 Provocative thesis, cross-discipline, counterintuitive

High vote count (>10) is a bonus — reflects community heat.

Step 4: Output format

📄 HF Daily Papers · [date]  N papers total

## 🔴 Must Read (score 8-10)
[Title | ID | Organization
 Xiaolongxia comment: ...]
## 🟡 Worth Noting (score 6-7)
[Compact list + one-line evaluation]
## 🟢 Skim If Interested
[Ultra brief list]

## 🦞 Summary
Top 3 + today's main theme observations

Commentary guidelines:

  • Every "Must Read" paper needs a "Xiaolongxia comment" — explain the core insight in your own words
  • Say why it's worth reading and what makes it special
  • Can connect to other papers or industry trends
  • Tone: casual, witty, friendly — like chatting with a friend
  • "Worth Noting" entries: one sentence max
Usage Guidance
This skill appears to be what it claims: it fetches HuggingFace daily papers and writes a local hf_results.json. Before installing, note two practical and one security point: (1) Metadata omission — the registry did not declare HF_TOKEN as a required credential even though SKILL.md and the script require it; expect to provide HF_TOKEN yourself. (2) Runtime dependency — the script uses the Python 'requests' library but the skill doesn't list this dependency; ensure you have Python + requests installed. (3) Token scope and trust — create a dedicated HuggingFace read-only token for this skill (do not reuse high-privilege tokens), and review the simple script contents (it only calls huggingface.co and writes a local JSON) — if you do not trust the skill source (owner unknown), run it in an isolated environment or container. If the owner can be verified, ask them to update registry metadata to declare HF_TOKEN and list runtime deps to remove the inconsistency.
Capability Analysis
Type: OpenClaw Skill Name: hf-daily-papers Version: 1.0.0 The skill is a legitimate tool designed to fetch and summarize research papers from the Hugging Face Daily Papers feed. The Python script (hf_papers.py) uses the official Hugging Face API, requires a standard API token (HF_TOKEN), and performs basic data processing without any signs of malicious execution, data exfiltration, or obfuscation.
Capability Assessment
Purpose & Capability
Name/description match the behavior: the script fetches the HuggingFace daily papers feed and formats results. Requiring an HF read token is coherent with using the HF API. However, the registry metadata declared no required environment variables or primary credential while the runtime instructions and script explicitly require an HF_TOKEN — this metadata omission is inconsistent and worth flagging.
Instruction Scope
SKILL.md and SKILL_zh.md limit actions to fetching HF API data, cleaning it, scoring, and writing hf_results.json. The instructions do not request unrelated files, system-wide config, or unknown external endpoints. They do instruct the user to set HF_TOKEN in the environment; the Python script reads only that env var and writes a local hf_results.json.
Install Mechanism
There is no install spec (instruction-only skill with an included script). That is the lower-risk model. Note: the Python script depends on the 'requests' library and a Python runtime but the SKILL.md does not list these runtime dependencies; this is an operational omission (not an obvious security risk) but could cause failures.
Credentials
The script requires HF_TOKEN (a HuggingFace token) which is appropriate for calling the HF API. However, the skill registry metadata did not declare any required env vars or a primary credential—this mismatch is suspicious because users installing skills expect to see required credentials upfront. Recommend creating a minimal read-only token and verifying the token's scope before use.
Persistence & Privilege
The skill does not request permanent/always-on presence and does not modify other skills or system configs. It writes a single output file (hf_results.json) in the working directory. Autonomous invocation is allowed (platform default) but there are no additional elevated privileges requested.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install hf-daily-papers
  3. After installation, invoke the skill by name or use /hf-daily-papers
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of hf-daily-papers skill: - Fetches HuggingFace Daily Papers via the HF API and generates a structured daily digest. - Scores papers on innovation, practicality, technical depth, and interest, factoring in community votes. - Groups papers into "Must-Read," "Worth Attention," and "Worth a Look" sections with concise, friendly commentary. - Provides a fun, chatty summary highlighting top papers and daily trends. - Supports both English and Chinese user queries for daily AI research highlights.
Metadata
Slug hf-daily-papers
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is hugging-face daily papers?

Fetch and digest HuggingFace Daily Papers. Use when user asks for today's HF papers, daily paper digest, wants a paper report, or says 论文精选/今日论文/HF daily pap... It is an AI Agent Skill for Claude Code / OpenClaw, with 106 downloads so far.

How do I install hugging-face daily papers?

Run "/install hf-daily-papers" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is hugging-face daily papers free?

Yes, hugging-face daily papers is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does hugging-face daily papers support?

hugging-face daily papers is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created hugging-face daily papers?

It is built and maintained by GoDiao (@godiao); the current version is v1.0.0.

💬 Comments